Ghent University Hospital

Machine learning methods in sport injury prediction and prevention: a systematic review

Hans Van Eetvelde, Luciana De Michelis Mendonça, Christophe Ley et al.

2021 · 279 Zit.

Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study

Anindo Saha, Joeran Sander Bosma, Jasper J. Twilt et al.

2024 · 249 Zit.

Application of BMP-7 to tibial non-unions: A 3-year multicenter experience

Nikolaos K. Kanakaris, Giorgio Maria Calori, René Verdonk et al.

2008 · 146 Zit.

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Tirtha Chanda, Katja Hauser, Sarah Hobelsberger et al.

2024 · 137 Zit.

Data Sharing Under the General Data Protection Regulation

Antonia Vlahou, Dara Hallinan, Rolf Apweiler et al.

2021 · 127 Zit.

Potentials and pitfalls of ChatGPT and natural-language artificial intelligence models for the understanding of laboratory medicine test results. An assessment by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group on Artificial Intelligence (WG-AI)

Janne Cadamuro, Federico Cabitza, Željko Debeljak et al.

2023 · 114 Zit.

Machine learning in infection management using routine electronic health records: tools, techniques, and reporting of future technologies

Christian F. Luz, Marcus Vollmer, Johan Decruyenaere et al.

2020 · 107 Zit.

Explainability in medicine in an era of AI-based clinical decision support systems

Robin Pierce, Wim Van Biesen, Daan Van Cauwenberge et al.

2022 · 78 Zit.

Tackling Algorithmic Disability Discrimination in the Hiring Process: An Ethical, Legal and Technical Analysis

Maarten Buyl, Christina Cociancig, Cristina Frattone et al.

2022 · 76 Zit.

The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data

Élise Bannier, Gareth J. Barker, Valentina Borghesani et al.

2021 · 60 Zit.

Application of Machine Learning in Chronic Kidney Disease: Current Status and Future Prospects

Charlotte Delrue, Sander De Bruyne, Marijn M. Speeckaert

2024 · 55 Zit.

Training opportunities of artificial intelligence (AI) in radiology: a systematic review

Floor Schuur, Mohammad Hosein Rezazade Mehrizi, Erik Ranschaert

2021 · 55 Zit.

“Many roads lead to Rome and the Artificial Intelligence only shows me one road”: an interview study on physician attitudes regarding the implementation of computerised clinical decision support systems

Daan Van Cauwenberge, Wim Van Biesen, Johan Decruyenaere et al.

2022 · 45 Zit.

The impact of AI suggestions on radiologists’ decisions: a pilot study of explainability and attitudinal priming interventions in mammography examination

Mohammad Hosein Rezazade Mehrizi, Ferdinand Mol, Marcel Peter et al.

2023 · 45 Zit.

Collaboration between explainable artificial intelligence and pulmonologists improves the accuracy of pulmonary function test interpretation

Nilakash Das, Sofie Happaerts, Iwein Gyselinck et al.

2023 · 43 Zit.